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A new processing technique removes noise from optical microscope data in real time, allowing scientists to track individual molecules over 10 times more precisely than was possible before.

A team of bioengineering researchers at the University of Illinois Urbana-Champaign has introduced an algorithm called adaptive intersection maximization, or AIM, that removes high-frequency noise from super-resolution optical microscope data much faster than standard methods and results in much higher image resolutions.

"The helical twist of these fibers is impossible to discern using an optical microscope, or even some super-resolution microscopes, because these things are just too small," Lew said.

The new nanospectroscopy end station is based on a scanning optical microscope and enables imaging and spectroscopy with infrared light with a spatial resolution of more than 30 nm.

By comparing the apparent positions of the holes as viewed by the optical microscope with the actual positions, the researchers assessed errors from magnification calibration and image distortion of the optical microscope.